QA/G-5M adapts the current EPA QA/G-5 for modeling projects emphasizing applicable QA Project Plan elements for example, assessment of acquired data and software/hardware configuration testing. Issues such as regulatory task focused systematic planning and the use of the graded approach to match model complexity to the need for evaluation and testing are also addressed.

QA/G-4 provides non-mandatory guidance on developing Data Quality Objectives (DQOs) using a systematic planning process based on the graded approach. The guidance presents a step-by-step description of the DQO process. The Aug 2000 version supercedes the Sept 1994 version.

QA/G-4HW provides guidance on applying the Data Quality Objectives (DQO) process to hazardous waste site investigations. The guidance presents a step-by-step description of the DQO process and its application to sampling designs for environmental remediation and waste management activities.

The Uniform Federal Policy for Implementing Environmental Quality Systems (UFP) outlines essential elements of a Quality System for management of environmental data collection and use and environmental technology programs. The policy was developed as a joint initiative between the U.S. Environmental Protection Agency (EPA), the Department of Defense (DoD), and the Department of Energy (DOE) to resolve data quality inconsistencies and/or deficiencies.

This template and guide were developed and written by the Native American Fish and Wildlife Society, Cook Inlet Keeper, and the University of Alaska Anchorage Environmental and Natural Resources Institute. These documents have been reviewed and approved by EPA and ADEC.

The Uniform Federal Policy for Implementing Environmental Quality Systems (UFP) outlines essential elements of a Quality System for management of environmental data collection and use and environmental technology programs. The policy was developed as a joint initiative between the U.S. Environmental Protection Agency (EPA), the Department of Defense (DoD), and the Department of Energy (DOE) to resolve data quality inconsistencies and/or deficiencies.